Art

J-GLOBAL ID：202002237295178387   Reference number：20A0322471

Forming state recognition in deep drawing process with machine learning

機械学習による深絞り加工プロセスにおける形成状態認識

Author (5)： TSURUYA Tomohiro (Industrial Research Institute, Hokkaido Research Organization) ,  DANSEKO Musashi (Graduate School of Engineering, Hokkaido University) ,  SASAKI Katsuhiko (Faculty of Engineering, Hokkaido University) ,  HONDA Shinya (Faculty of Engineering, Hokkaido University) ,  TAKEDA Ryo (Faculty of Engineering, Hokkaido University)
Material： Journal of Advanced Mechanical Design, Systems, and Manufacturing (Web)  (J Adv Mech Des Syst Manuf (Web))
Volume： 13  Issue： 3  Page： JAMDSM0066(J-STAGE)  Publication year： 2019 
JST Material Number： U0027A  ISSN： 1881-3054  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *machine learning ,  *deep drawing ,  constitution ,  *state ,  recognition ,  press working ,  quality inspection ,  working and processing ,  machining speed ,  product ,  acoustic emission ,  neural network(biomodel) ,  cold rolled steel plate ,  material
Semi thesaurus term： ductile materials ,  *formation ,  high speed machining ,  *deep learning ,  defective product

Author keywords (6)： Sheet metal forming ,  Acoustic emission ,  Deep learning ,  Deep drawing ,  Data acquisition ,  Sensor

JST classification (2)： Press working  (WC04050H) ,  Artificial intelligence  (JE08000Z)

Reference (24)：

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Terms in the title (3)： 機械学習 ,  深絞り加工 ,  プロセス